code: def cli_main():
      parser = ArgumentParser()
      parser.add_argument(
          "--checkpoint-path",
          type=pathlib.Path,
          required=True,
          help="Path to checkpoint to use for evaluation.",
      )
      parser.add_argument(
          "--dataset-path",
          type=pathlib.Path,
          help="Path to L3DAS22 datasets.",
      )
      parser.add_argument(
          "--batch_size",
          default=4,
          type=int,
          help="Batch size for training. (Default: 4)",
      )
      parser.add_argument(
          "--use-cuda",
          action="store_true",
          default=False,
          help="Run using CUDA.",
      )
      args = parser.parse_args()
      run_eval(args)
  
file_path: audio/examples/dnn_beamformer/eval.py
imports: import logging
  import pathlib
  from argparse import ArgumentParser
  import ci_sdr
  import torch
  from datamodule import L3DAS22DataModule
  from model import DNNBeamformer
  from pesq import pesq
  from pystoi import stoi
label_desc: Use image node_id 2 for calling a global function with example usage: cli_main() without return types